PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\17. Deep Learning with TensorFlow 2.0 | ||
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 1. Introduction | ||
| 10. Optimizers | ||
| 11. Preprocessing | ||
| 12. Deeper example | ||
| 13. Business case | ||
| 14. Conclusion | ||
| 2. Neural networks Intro | ||
| 3. Setting up the environment | ||
| 4. Minimal example | ||
| 5. Introduction to TensorFlow 2 | ||
| 6. Deep nets overview | ||
| 8. Overfitting | ||
| 9. Initialization | ||